no code implementations • 5 Oct 2021 • Narsimha Chilkuri, Eric Hunsberger, Aaron Voelker, Gurshaant Malik, Chris Eliasmith
Over three orders of magnitude, we show that our new architecture attains the same accuracy as transformers with 10x fewer tokens.
no code implementations • 16 Jun 2021 • Kinjal Patel, Eric Hunsberger, Sean Batir, Chris Eliasmith
We explore the advantages of regularizing firing rates of Loihi neurons for converting ANN to SNN with minimum accuracy loss and optimized energy consumption.
1 code implementation • 4 Dec 2018 • Peter Blouw, Xuan Choo, Eric Hunsberger, Chris Eliasmith
Using Intel's Loihi neuromorphic research chip and ABR's Nengo Deep Learning toolkit, we analyze the inference speed, dynamic power consumption, and energy cost per inference of a two-layer neural network keyword spotter trained to recognize a single phrase.
1 code implementation • 16 Nov 2016 • Eric Hunsberger, Chris Eliasmith
We describe a method to train spiking deep networks that can be run using leaky integrate-and-fire (LIF) neurons, achieving state-of-the-art results for spiking LIF networks on five datasets, including the large ImageNet ILSVRC-2012 benchmark.
2 code implementations • 29 Oct 2015 • Eric Hunsberger, Chris Eliasmith
We train spiking deep networks using leaky integrate-and-fire (LIF) neurons, and achieve state-of-the-art results for spiking networks on the CIFAR-10 and MNIST datasets.